{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "from yahoofinancials import YahooFinancials\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Download Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "start_date = '2017-01-01'\n",
    "end_date = '2017-12-31'\n",
    "stock_code = 'NVDA'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "stock_data = YahooFinancials(stock_code).get_historical_price_data(start_date, end_date, 'daily')\n",
    "price_data = stock_data[stock_code]['prices']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "columns = ['formatted_date', 'open', 'high', 'low', 'close', 'adjclose', 'volume']\n",
    "new_columns = ['Date', 'Open', 'High', 'Low', 'Close', 'Adj Close', 'Volume']\n",
    "# order dataframe columns\n",
    "df = pd.DataFrame(data=price_data)[columns]\n",
    "# rename dataframe columns\n",
    "df = df.rename(index=str, columns=dict(zip(columns, new_columns)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017-01-03</td>\n",
       "      <td>104.400002</td>\n",
       "      <td>106.370003</td>\n",
       "      <td>99.379997</td>\n",
       "      <td>102.010002</td>\n",
       "      <td>101.111633</td>\n",
       "      <td>37549900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017-01-04</td>\n",
       "      <td>103.400002</td>\n",
       "      <td>105.500000</td>\n",
       "      <td>101.529999</td>\n",
       "      <td>104.389999</td>\n",
       "      <td>103.470665</td>\n",
       "      <td>29980500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017-01-05</td>\n",
       "      <td>104.529999</td>\n",
       "      <td>105.820000</td>\n",
       "      <td>101.050003</td>\n",
       "      <td>101.739998</td>\n",
       "      <td>100.844017</td>\n",
       "      <td>24607400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017-01-06</td>\n",
       "      <td>102.849998</td>\n",
       "      <td>104.250000</td>\n",
       "      <td>101.199997</td>\n",
       "      <td>103.099998</td>\n",
       "      <td>102.192032</td>\n",
       "      <td>20571400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017-01-09</td>\n",
       "      <td>103.500000</td>\n",
       "      <td>108.000000</td>\n",
       "      <td>103.500000</td>\n",
       "      <td>107.279999</td>\n",
       "      <td>106.335220</td>\n",
       "      <td>22857700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2017-01-10</td>\n",
       "      <td>107.809998</td>\n",
       "      <td>109.190002</td>\n",
       "      <td>105.629997</td>\n",
       "      <td>106.470001</td>\n",
       "      <td>105.532349</td>\n",
       "      <td>22023000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2017-01-11</td>\n",
       "      <td>106.000000</td>\n",
       "      <td>106.199997</td>\n",
       "      <td>104.150002</td>\n",
       "      <td>105.160004</td>\n",
       "      <td>104.233887</td>\n",
       "      <td>13141600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2017-01-12</td>\n",
       "      <td>104.230003</td>\n",
       "      <td>104.699997</td>\n",
       "      <td>101.620003</td>\n",
       "      <td>103.440002</td>\n",
       "      <td>102.529037</td>\n",
       "      <td>15640400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2017-01-13</td>\n",
       "      <td>103.599998</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>103.059998</td>\n",
       "      <td>103.430000</td>\n",
       "      <td>102.519119</td>\n",
       "      <td>11445500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2017-01-17</td>\n",
       "      <td>103.000000</td>\n",
       "      <td>103.199997</td>\n",
       "      <td>100.570000</td>\n",
       "      <td>101.110001</td>\n",
       "      <td>100.219559</td>\n",
       "      <td>14497600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date        Open        High         Low       Close   Adj Close  \\\n",
       "0  2017-01-03  104.400002  106.370003   99.379997  102.010002  101.111633   \n",
       "1  2017-01-04  103.400002  105.500000  101.529999  104.389999  103.470665   \n",
       "2  2017-01-05  104.529999  105.820000  101.050003  101.739998  100.844017   \n",
       "3  2017-01-06  102.849998  104.250000  101.199997  103.099998  102.192032   \n",
       "4  2017-01-09  103.500000  108.000000  103.500000  107.279999  106.335220   \n",
       "5  2017-01-10  107.809998  109.190002  105.629997  106.470001  105.532349   \n",
       "6  2017-01-11  106.000000  106.199997  104.150002  105.160004  104.233887   \n",
       "7  2017-01-12  104.230003  104.699997  101.620003  103.440002  102.529037   \n",
       "8  2017-01-13  103.599998  105.000000  103.059998  103.430000  102.519119   \n",
       "9  2017-01-17  103.000000  103.199997  100.570000  101.110001  100.219559   \n",
       "\n",
       "     Volume  \n",
       "0  37549900  \n",
       "1  29980500  \n",
       "2  24607400  \n",
       "3  20571400  \n",
       "4  22857700  \n",
       "5  22023000  \n",
       "6  13141600  \n",
       "7  15640400  \n",
       "8  11445500  \n",
       "9  14497600  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# save to 'data' directory\n",
    "df.to_csv('../data/{}_{}.csv'.format(stock_code, start_date[:4]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alternatively, we can go to https://finance.yahoo.com/ to look up a stock and download its historical data by setting the stock's time period and frequency."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualize Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-01-04</td>\n",
       "      <td>2038.199951</td>\n",
       "      <td>2038.199951</td>\n",
       "      <td>1989.680054</td>\n",
       "      <td>2012.660034</td>\n",
       "      <td>2012.660034</td>\n",
       "      <td>4304880000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-01-05</td>\n",
       "      <td>2013.780029</td>\n",
       "      <td>2021.939941</td>\n",
       "      <td>2004.170044</td>\n",
       "      <td>2016.709961</td>\n",
       "      <td>2016.709961</td>\n",
       "      <td>3706620000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-01-06</td>\n",
       "      <td>2011.709961</td>\n",
       "      <td>2011.709961</td>\n",
       "      <td>1979.050049</td>\n",
       "      <td>1990.260010</td>\n",
       "      <td>1990.260010</td>\n",
       "      <td>4336660000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-01-07</td>\n",
       "      <td>1985.319946</td>\n",
       "      <td>1985.319946</td>\n",
       "      <td>1938.829956</td>\n",
       "      <td>1943.089966</td>\n",
       "      <td>1943.089966</td>\n",
       "      <td>5076590000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-01-08</td>\n",
       "      <td>1945.969971</td>\n",
       "      <td>1960.400024</td>\n",
       "      <td>1918.459961</td>\n",
       "      <td>1922.030029</td>\n",
       "      <td>1922.030029</td>\n",
       "      <td>4664940000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2016-01-11</td>\n",
       "      <td>1926.119995</td>\n",
       "      <td>1935.650024</td>\n",
       "      <td>1901.099976</td>\n",
       "      <td>1923.670044</td>\n",
       "      <td>1923.670044</td>\n",
       "      <td>4607290000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2016-01-12</td>\n",
       "      <td>1927.829956</td>\n",
       "      <td>1947.380005</td>\n",
       "      <td>1914.349976</td>\n",
       "      <td>1938.680054</td>\n",
       "      <td>1938.680054</td>\n",
       "      <td>4887260000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2016-01-13</td>\n",
       "      <td>1940.339966</td>\n",
       "      <td>1950.329956</td>\n",
       "      <td>1886.410034</td>\n",
       "      <td>1890.280029</td>\n",
       "      <td>1890.280029</td>\n",
       "      <td>5087030000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2016-01-14</td>\n",
       "      <td>1891.680054</td>\n",
       "      <td>1934.469971</td>\n",
       "      <td>1878.930054</td>\n",
       "      <td>1921.839966</td>\n",
       "      <td>1921.839966</td>\n",
       "      <td>5241110000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2016-01-15</td>\n",
       "      <td>1916.680054</td>\n",
       "      <td>1916.680054</td>\n",
       "      <td>1857.829956</td>\n",
       "      <td>1880.329956</td>\n",
       "      <td>1880.329956</td>\n",
       "      <td>5468460000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date         Open         High          Low        Close  \\\n",
       "0  2016-01-04  2038.199951  2038.199951  1989.680054  2012.660034   \n",
       "1  2016-01-05  2013.780029  2021.939941  2004.170044  2016.709961   \n",
       "2  2016-01-06  2011.709961  2011.709961  1979.050049  1990.260010   \n",
       "3  2016-01-07  1985.319946  1985.319946  1938.829956  1943.089966   \n",
       "4  2016-01-08  1945.969971  1960.400024  1918.459961  1922.030029   \n",
       "5  2016-01-11  1926.119995  1935.650024  1901.099976  1923.670044   \n",
       "6  2016-01-12  1927.829956  1947.380005  1914.349976  1938.680054   \n",
       "7  2016-01-13  1940.339966  1950.329956  1886.410034  1890.280029   \n",
       "8  2016-01-14  1891.680054  1934.469971  1878.930054  1921.839966   \n",
       "9  2016-01-15  1916.680054  1916.680054  1857.829956  1880.329956   \n",
       "\n",
       "     Adj Close      Volume  \n",
       "0  2012.660034  4304880000  \n",
       "1  2016.709961  3706620000  \n",
       "2  1990.260010  4336660000  \n",
       "3  1943.089966  5076590000  \n",
       "4  1922.030029  4664940000  \n",
       "5  1923.670044  4607290000  \n",
       "6  1938.680054  4887260000  \n",
       "7  1890.280029  5087030000  \n",
       "8  1921.839966  5241110000  \n",
       "9  1880.329956  5468460000  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('../data/^GSPC_2016.csv')\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(252, 7)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 5), dpi=100)\n",
    "plt.plot(df['Date'], df['Close'], color='black', label='S&P 500 2016')\n",
    "plt.xticks(np.linspace(0, len(df), 10))\n",
    "plt.legend()\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(15, 5), dpi=100)\n",
    "ax = fig.add_subplot(1,1,1)\n",
    "ax.plot(df['Date'], df['Close'], color='black', label='S&P 500 2016')\n",
    "ax.set_xticks(np.linspace(0, len(df), 10))\n",
    "ax.legend()\n",
    "ax.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
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